For an isotropic three-dimensional ideal walk, each Cartesian component contributes to the mean square. Keeping two components gives . The planar projection of an isotropic random vector therefore has , smaller than the unprojected planar ideal walk by . The corresponding two-dimensional Gaussian mean distance has the same ratio.

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